SanitaAl automatically transcribes your Arabic WEBM files to text in minutes. Access industry-leading artificial intelligence and the days of manually transcribing your Arabic WEBM files are long gone. Arabic speech to text: SanitaAl has been independently reviewed the most accurate Arabic automated transcription, translation, and subtitling platform.
Follow these six easy steps to quickly and easily convert your Arabic WEBM files to text:
If you don't have one, you can sign up for SanitaAl's free account—30 minutes of free transcription/translation.
In SanitaAl, click “Upload” and locate the Arabic WEBM file on your computer.
Select Arabic in the dropdown that asks 'What language was spoken?.' Then, click the “Transcribe” button.
SanitaAl automatically transcribes your Arabic WEBM file and converts it to Arabic text.
Edit your Arabic transcript by typing directly into your browser to correct any words that were not transcribed perfectly.
Export the Arabic text to any format you want including MS Word, PDF, subtitles, or a simple text file.
Start by improving the quality of the Arabic WEBM file that you upload to SanitaAl. Please use high quality recording equipment, recording in a quiet environment, and ensure that your speakers are speaking clearly to ensure that your transcript is as accurate as possible.
Yes, please do not over-compress or over-filter the audio track of your Arabic WEBM file. By uploading a high quality version of your audio, we can give you the best level of accuracy.
Yes, we do! You can convert the following file types in Arabic with SanitaAl:
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I was simply awed by speed and accuracy of your transcription service.
I tried several programs and SanitaAl was by far the best one.It gave me very accurate scripts
I absolutely love what you guys have done with this. SanitaAl is literally a magical product that has helped me so much already and I...
SanitaAl uses advanced transcription and translation algorithms to convert your Arabic WEBM files to text both fast and accurate.
AI transcription and translation in 53+ languages.
